7
views
0
recommends
+1 Recommend
0 collections
    0
    shares
      • Record: found
      • Abstract: found
      • Article: found
      Is Open Access

      Population structure and antimicrobial resistance patterns of Salmonella Typhi isolates in urban Dhaka, Bangladesh from 2004 to 2016

      research-article

      Read this article at

      Bookmark
          There is no author summary for this article yet. Authors can add summaries to their articles on ScienceOpen to make them more accessible to a non-specialist audience.

          Abstract

          Background

          Multi-drug resistant typhoid fever remains an enormous public health threat in low and middle-income countries. However, we still lack a detailed understanding of the epidemiology and genomics of S. Typhi in many regions. Here we have undertaken a detailed genomic analysis of typhoid in urban Dhaka, Bangladesh to unravel the population structure and antimicrobial resistance patterns in S. Typhi isolated between 2004–2016.

          Principal findings

          Whole genome sequencing of 202 S. Typhi isolates obtained from three study locations in urban Dhaka revealed a diverse range of S. Typhi genotypes and AMR profiles. The bacterial population within Dhaka were relatively homogenous with little stratification between different healthcare facilities or age groups. We also observed evidence of exchange of Bangladeshi genotypes with neighboring South Asian countries (India, Pakistan and Nepal) suggesting these are circulating throughout the region. This analysis revealed a decline in H58 (genotype 4.3.1) isolates from 2011 onwards, coinciding with a rise in a diverse range of non-H58 genotypes and a simultaneous rise in isolates with reduced susceptibility to fluoroquinolones, potentially reflecting a change in treatment practices. We identified a novel S. Typhi genotype, subclade 3.3.2 (previously defined only to clade level, 3.3), which formed two localized clusters (3.3.2.Bd1 and 3.3.2.Bd2) associated with different mutations in the Quinolone Resistance Determining Region (QRDR) of gene gyrA.

          Significance

          Our analysis of S. Typhi isolates from urban Dhaka, Bangladesh isolated over a twelve year period identified a diverse range of AMR profiles and genotypes. The observed increase in non-H58 genotypes associated with reduced fluoroquinolone susceptibility may reflect a change in treatment practice in this region and highlights the importance of continued molecular surveillance to monitor the ongoing evolution of AMR in Dhaka. We have defined new genotypes and lineages of Bangladeshi S. Typhi which will facilitate the identification of these emerging AMR clones in future surveillance efforts.

          Author summary

          Typhoid fever, caused by Salmonella enterica serovar Typhi, is an acute and often life-threatening febrile illness in developing countries. Until recently, there have been limited studies focusing on the epidemiology and disease burden of typhoid in poor resource settings including Bangladesh. This study highlights the urgent need for sustained genomics based surveillance studies to monitor the population structure and ongoing evolution of AMR. Our data revealed a diverse range of S. Typhi genotypes and AMR patterns among 202 isolates collected from three urban areas in Dhaka, Bangladesh. Moreover, we defined a novel genotype, subclade 3.3.2 (previously typed only to clade level, 3.3) with two Bangladesh-localized clades 3.3.2.Bd1 and 3.3.2.Bd2 showing reduced susceptibility to fluoroquinolones. Our data shows a significant increase in non-H58 genotypes carrying QRDR mutations from 2012 onwards, replacing MDR H58 genotypes. Our data suggest that a shift in treatment practice towards third generation cephalosporins to control typhoid may be beneficial, in addition to the introduction of vaccination programs and improvements in water sanitation and hygiene (WASH) in urban Dhaka, Bangladesh.

          Related collections

          Most cited references24

          • Record: found
          • Abstract: found
          • Article: not found

          A statistical framework for SNP calling, mutation discovery, association mapping and population genetical parameter estimation from sequencing data.

          Heng Li (2011)
          Most existing methods for DNA sequence analysis rely on accurate sequences or genotypes. However, in applications of the next-generation sequencing (NGS), accurate genotypes may not be easily obtained (e.g. multi-sample low-coverage sequencing or somatic mutation discovery). These applications press for the development of new methods for analyzing sequence data with uncertainty. We present a statistical framework for calling SNPs, discovering somatic mutations, inferring population genetical parameters and performing association tests directly based on sequencing data without explicit genotyping or linkage-based imputation. On real data, we demonstrate that our method achieves comparable accuracy to alternative methods for estimating site allele count, for inferring allele frequency spectrum and for association mapping. We also highlight the necessity of using symmetric datasets for finding somatic mutations and confirm that for discovering rare events, mismapping is frequently the leading source of errors. http://samtools.sourceforge.net. hengli@broadinstitute.org.
            Bookmark
            • Record: found
            • Abstract: found
            • Article: not found

            Complete genome sequence of a multiple drug resistant Salmonella enterica serovar Typhi CT18.

            Salmonella enterica serovar Typhi (S. typhi) is the aetiological agent of typhoid fever, a serious invasive bacterial disease of humans with an annual global burden of approximately 16 million cases, leading to 600,000 fatalities. Many S. enterica serovars actively invade the mucosal surface of the intestine but are normally contained in healthy individuals by the local immune defence mechanisms. However, S. typhi has evolved the ability to spread to the deeper tissues of humans, including liver, spleen and bone marrow. Here we have sequenced the 4,809,037-base pair (bp) genome of a S. typhi (CT18) that is resistant to multiple drugs, revealing the presence of hundreds of insertions and deletions compared with the Escherichia coli genome, ranging in size from single genes to large islands. Notably, the genome sequence identifies over two hundred pseudogenes, several corresponding to genes that are known to contribute to virulence in Salmonella typhimurium. This genetic degradation may contribute to the human-restricted host range for S. typhi. CT18 harbours a 218,150-bp multiple-drug-resistance incH1 plasmid (pHCM1), and a 106,516-bp cryptic plasmid (pHCM2), which shows recent common ancestry with a virulence plasmid of Yersinia pestis.
              Bookmark
              • Record: found
              • Abstract: found
              • Article: found
              Is Open Access

              genoPlotR: comparative gene and genome visualization in R

              Summary: The amount of gene and genome data obtained by next-generation sequencing technologies generates a need for comparative visualization tools. Complementing existing software for comparison and exploration of genomics data, genoPlotR automatically creates publication-grade linear maps of gene and genomes, in a highly automatic, flexible and reproducible way. Availability: genoPlotR is a platform-independent R package, available with full source code under a GPL2 license at R-Forge: http://genoplotr.r-forge.r-project.org/ Contact: lionel.guy@ebc.uu.se
                Bookmark

                Author and article information

                Contributors
                Role: ConceptualizationRole: Formal analysisRole: MethodologyRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Formal analysisRole: VisualizationRole: Writing – original draftRole: Writing – review & editing
                Role: Formal analysisRole: VisualizationRole: Writing – review & editing
                Role: Data curationRole: Funding acquisitionRole: ResourcesRole: Writing – review & editing
                Role: Formal analysisRole: Writing – review & editing
                Role: SupervisionRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: ConceptualizationRole: Funding acquisitionRole: SupervisionRole: Writing – original draftRole: Writing – review & editing
                Role: Editor
                Journal
                PLoS Negl Trop Dis
                PLoS Negl Trop Dis
                plos
                plosntds
                PLoS Neglected Tropical Diseases
                Public Library of Science (San Francisco, CA USA )
                1935-2727
                1935-2735
                27 February 2020
                February 2020
                : 14
                : 2
                : e0008036
                Affiliations
                [1 ] Infectious Diseases Division, International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b), Dhaka, Bangladesh
                [2 ] Department of Medicine, University of Cambridge, Cambridge, United Kingdom
                [3 ] Department of Infectious Diseases, Central Clinical School, Monash University, Melbourne, Victoria, Australia
                [4 ] Wellcome Sanger Institute, Wellcome Genome Campus, Hinxton, Cambridge, United Kingdom
                [5 ] Department of Infection Biology, Faculty of Infections and Tropical Diseases, London School of Hygiene and Tropical Medicine, London, United Kingdom
                [6 ] Department of Biochemistry and Molecular Biology, University of Dhaka, Dhaka, Bangladesh
                Mohammed Bin Rashid University of Medicine and Health Sciences, UNITED ARAB EMIRATES
                Author notes

                The authors have declared that no competing interests exist.

                ‡ These authors are joint senior authors on this work.

                Author information
                http://orcid.org/0000-0002-8887-3492
                http://orcid.org/0000-0003-3949-2471
                Article
                PNTD-D-19-01039
                10.1371/journal.pntd.0008036
                7064254
                32106221
                ecd59d27-930e-407a-a20d-ea8b791291be
                © 2020 Rahman et al

                This is an open access article distributed under the terms of the Creative Commons Attribution License, which permits unrestricted use, distribution, and reproduction in any medium, provided the original author and source are credited.

                History
                : 3 July 2019
                : 8 January 2020
                Page count
                Figures: 6, Tables: 2, Pages: 18
                Funding
                Funded by: funder-id http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 106158/Z/14/Z
                Award Recipient :
                Funded by: National Institute of Allergy and Infectious Diseases
                Award ID: AI100023,AI058935
                Award Recipient :
                Funded by: Fogarty International Center Training Grant in Vaccine Development and Public Health
                Award ID: TW005572
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP50419
                Funded by: SIDA
                Award ID: 54100020, 51060029
                Funded by: funder-id http://dx.doi.org/10.13039/100004440, Wellcome Trust;
                Award ID: 098051
                Award Recipient :
                Funded by: funder-id http://dx.doi.org/10.13039/100000865, Bill and Melinda Gates Foundation;
                Award ID: OPP1151153
                Award Recipient :
                This work was supported by the Wellcome Trust Sanger Institute, Cambridge, UK and International Centre for Diarrhoeal Disease Research, Bangladesh (icddr,b) as well as the Cambridge BRC AMR Theme (NIHR). This study was supported by the grants from the Wellcome Trust, the National Institutes of Health, including the National Institute of Allergy and Infectious Diseases ( niaid.nih.gov, AI100023 [FQ]); AI058935 [FQ]) as well as a Fogarty International Center Training Grant in Vaccine Development and Public Health ( fic.nih.gov, TW005572 [FK and FQ]), Bill and Melinda Gates Foundation ( gatesfoundation.org, Grant no. OPP50419) and also SIDA fund (sida.se, 54100020, 51060029). icddr,b is grateful to the Governments of Bangladesh, Canada, Sweden and UK for providing core support. ZAD was supported by a grant funded by the Wellcome Trust ( wellcome.ac.uk, 106158/Z/14/Z). KEH is supported by a Senior Medical Research Fellowship from the Viertel Foundation of Australia ( viertel.org.au). This work was also supported by The Wellcome Trust (STRATAA) [106158 and 098051], the Gates Foundation (TyVAC) [OPP1151153]. The funders had no role in study design, data collection and analysis, decision to publish, or preparation of the manuscript.
                Categories
                Research Article
                Medicine and Health Sciences
                Infectious Diseases
                Bacterial Diseases
                Salmonella
                Salmonella Typhi
                Biology and Life Sciences
                Microbiology
                Medical Microbiology
                Microbial Pathogens
                Bacterial Pathogens
                Salmonella
                Salmonella Typhi
                Medicine and Health Sciences
                Pathology and Laboratory Medicine
                Pathogens
                Microbial Pathogens
                Bacterial Pathogens
                Salmonella
                Salmonella Typhi
                Biology and Life Sciences
                Organisms
                Bacteria
                Enterobacteriaceae
                Salmonella
                Salmonella Typhi
                Biology and Life Sciences
                Microbiology
                Microbial Control
                Antimicrobial Resistance
                Medicine and Health Sciences
                Pharmacology
                Antimicrobial Resistance
                People and Places
                Geographical Locations
                Asia
                Bangladesh
                Medicine and Health Sciences
                Infectious Diseases
                Bacterial Diseases
                Typhoid
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Systematics
                Phylogenetics
                Biology and Life Sciences
                Taxonomy
                Evolutionary Systematics
                Phylogenetics
                Computer and Information Sciences
                Data Management
                Taxonomy
                Evolutionary Systematics
                Phylogenetics
                Biology and Life Sciences
                Computational Biology
                Genome Analysis
                Sequence Assembly Tools
                Biology and Life Sciences
                Genetics
                Genomics
                Genome Analysis
                Sequence Assembly Tools
                Biology and Life Sciences
                Genetics
                Molecular Genetics
                Biology and Life Sciences
                Molecular Biology
                Molecular Genetics
                Biology and Life Sciences
                Evolutionary Biology
                Evolutionary Systematics
                Phylogenetics
                Phylogenetic Analysis
                Biology and Life Sciences
                Taxonomy
                Evolutionary Systematics
                Phylogenetics
                Phylogenetic Analysis
                Computer and Information Sciences
                Data Management
                Taxonomy
                Evolutionary Systematics
                Phylogenetics
                Phylogenetic Analysis
                Custom metadata
                vor-update-to-uncorrected-proof
                2020-03-10
                Genomic data are submitted to the European Nucleotide Archive (ENA) and accession numbers are available in the supplementary tables.

                Infectious disease & Microbiology
                Infectious disease & Microbiology

                Comments

                Comment on this article